Top Hybrid Machine Learning Jobs
The Senior Manager of Machine Learning Engineering will lead ML activities including designing and delivering models, collaborating with product and data science teams, maintaining production models, and building cloud-based architectures. Responsibilities also include developing optimized data pipelines and ensuring adherence to best practices in AI governance.
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The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, collaborate with cross-functional teams, and mentor junior engineers, all while advancing the company's technology stack and delivering new features rapidly.
The Senior Consultant/Engineer will deliver complex solutions in areas like analytics and data strategy, manage client engagements, and oversee project budgets. The role requires strong technical skills in SQL and data modeling, along with business acumen in managing client expectations and relationships.
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As a Staff Machine Learning Engineer at Canva, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with teams to leverage ML capabilities while mentoring other engineers.
The Sr. Applied Machine Learning Scientist will design and deploy advanced machine learning models for product discovery, utilizing technologies like NLP and computer vision while collaborating with ML scientists and engineers to integrate solutions into Grainger's platforms.
The Machine Learning Infra Engineer will bridge the gap between data science and production systems by optimizing models for runtime performance, designing scalable MLOps pipelines, and implementing monitoring frameworks. They will work closely with data scientists to improve workflows and ensure reliability across the system, while also developing data versioning and deployment strategies.
As an AI Research Scientist, you will conduct applied research to advance machine learning techniques in energy markets, investigate new technologies, design solutions for unsolved problems, and publish findings in academic papers. Key responsibilities include developing mathematical understandings of energy systems, analyzing experiments, and implementing ML techniques.
As a Senior AI Research Scientist, you will apply machine learning and forecasting techniques to accelerate the decarbonization of electricity systems, conduct applied research, develop broad solutions for energy markets, mentor engineers, and publish findings in academic venues.
Design and implement infrastructure for training, evaluating, and deploying deep learning models for self-driving semi trucks. Develop and optimize training pipelines, track metrics, and enable continuous integration and deployment of model improvements in collaboration with cross-functional teams.
In this role, you will lead customers in transforming their data and analytics strategies, collaborate with customer leaders to address business challenges, and contribute to the growth of the Data and Analytics Consulting practice at Point B. You will work with diverse teams to plan and execute data initiatives, leveraging your expertise to drive measurable business outcomes.
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The Sr. Software Engineer for Machine Learning at Tinder will develop algorithms and recommendation systems that enhance user matches and optimize business metrics. This role involves high-impact contributions in a collaborative, innovative engineering environment.
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